{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}\\file\UsersW$\wrr15\Home\My Documents\My Files\ATANDA AKINWANDE\BCD PAPER\HEALTH ECONOMICS revision\NEW DATA AND PROGRAMS (20171021)\TABLE5top.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 4 Nov 2017, 09:32:55
{txt}
{com}. use "\\file\UsersW$\wrr15\Home\My Documents\My Files\ATANDA AKINWANDE\BCD PAPER\HEALTH ECONOMICS revision\NEW DATA AND PROGRAMS (20171021)\BEA_BCD_Dataset_stata.dta"
{txt}
{com}. 
. //*****************NOTE*******************************************************************************////
. //** N = 14; T = 69;                                                                                                                                                            **////
. //** Before stacking the data for each variable by industry, the matrix dimension is 69 x 14.           **////
. //** Excluding allprod with 69 x 1 dimension; allprod = industry_wide productivity measure.             **////
. //** The presented data for allprod here is the same for each industry. It is generated as:                     **////
. //** allprod = kronecker product of industry_wide productivity (69 x 1) with matrix of ones (1 x 14)**////
. //****************************************************************************************************////
. //**                                                                    NOTE FOR CCEMG ESTIMATION: 
. //** Cross-averages of the dependent and independent variables are used as additional covariates to 
. //** account for unobserved common factors. For the BEA dataset, the industry wide productivity 
. //** (allprod) does not vary across industry. Unlike the OECD dataset where economy-wide productivity 
. //** vary across country. In the case of BEA, the average of allprod (independent variable) across 
. //** industry (Avg_allprod) is the same as allprod i.e. allprod == Avg_allprod. Therefore, creating a 
. //** perfect collinearity betweent the independent variable (allprod) and Avg_allprod (that account 
. //** for common factor). Our type of model set-up is best estimated using GAUSS not STATA since the 
. //** independent variables does vary across industry.
. //****************************************************************************************************////
. 
. xtset cid year
{res}{txt}{col 8}panel variable:  {res}cid (strongly balanced)
{txt}{col 9}time variable:  {res}{col 25}year, 1947 to 2015
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. summarize lil pip allprod prodi

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}lil {c |}{res}        966    .0593705    .0671281   .0022676   .3044898
{txt}{space 9}pip {c |}{res}        966    1.130928    .7414331   .2173415   5.842093
{txt}{space 5}allprod {c |}{res}        966    .0447987    .0386695   .0043655   .1276321
{txt}{space 7}prodi {c |}{res}        966    .0672983    .0955694   .0021059    .597834
{txt}
{com}. 
. gen llil = log(lil)
{txt}
{com}. gen lallprod = log(allprod)
{txt}
{com}. 
. ////Panel Series CD Test
> xtcd lil pip prodi


{txt}{col 2}Average correlation coefficients & Pesaran (2004) CD test

{col 2}Variables series tested: {res}{col 20}lil pip prodi
{txt}{col 32}Group variable: {res}{col 47}cid
{txt}{col 30}Number of groups: {res}{col 47}14
{txt}{col 21}Average # of observations: {res}{col 47}74.31
{txt}{col 38}Panel is: {res}{col 47}unbalanced

{txt}{hline 13}{c TT}{hline 43}
{col 2}   Variable {c |}{col 19}CD-test{col 28}p-value{col 40}corr{col 46}abs(corr)
{hline 13}{c +}{hline 43}
         lil {c |}{res}{col 19}  -3.65{col 28}  0.000{col 39}-0.046{col 48}0.501
{txt}{hline 13}{c +}{hline 43}
         pip {c |}{res}{col 19}  -2.47{col 28}  0.014{col 39}-0.031{col 48}0.667
{txt}{hline 13}{c +}{hline 43}
       prodi {c |}{res}{col 19}  76.20{col 28}  0.000{col 39}0.962{col 48}0.962
{txt}{hline 13}{c BT}{hline 43}
{col 2}Notes: Under the null hypothesis of cross-section 
{col 9}independence CD ~ N(0,1)

{com}. 
. //Heterogeneous Slopes Estimators with Group-Specific Trends//
. 
. //LHL Model //
. xtmg llil lallprod, aug trend full res(let3)


{txt}Augmented Mean Group estimator (Bond & Eberhardt, 2009; Eberhardt & Teal, 2010)

Common dynamic process {res}included{txt} as additional regressor
All coefficients present represent averages across groups ({res}cid{txt})
Coefficient averages computed as {res}unweighted{txt} means

Mean Group type estimation{col 49}Number of obs{col 67}={col 69}{res}       966
{txt}Group variable: {res}cid{col 49}{txt}Number of groups{col 67}={col 69}{res}        14

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        69
{txt}{col 63}avg{col 67}={col 69}{res}      69.0
{txt}{col 63}max{col 67}={col 69}{res}        69

{txt}{col 49}Wald chi2({res}1{txt}){col 67}={col 70}{res}     0.05
{txt}{col 49}Prob > chi2{col 67}={res}{col 73}0.8254

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        llil{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}lallprod {c |}{col 14}{res}{space 2}-.0478658{col 26}{space 2} .2170081{col 37}{space 1}   -0.22{col 46}{space 3}0.825{col 54}{space 4} -.473194{col 67}{space 3} .3774623
{txt}{space 2}__00000R_c {c |}{col 14}{res}{space 2}        1{col 26}{space 2} .7953117{col 37}{space 1}    1.26{col 46}{space 3}0.209{col 54}{space 4}-.5587823{col 67}{space 3} 2.558782
{txt}{space 2}__000007_t {c |}{col 14}{res}{space 2}-5.35e-11{col 26}{space 2} .0107903{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0211486{col 67}{space 3} .0211486
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.672356{col 26}{space 2} 1.382658{col 37}{space 1}   -2.66{col 46}{space 3}0.008{col 54}{space 4}-6.382316{col 67}{space 3}-.9623955
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Root Mean Squared Error (sigma): {res}0.1064
{txt}Variable {res}__00000R_c{txt} refers to the common dynamic process.
Residual series based on country regressions stored in variable: {res}let3
{txt}Variable {res}__000007_t{txt} refers to a group-specific linear trend.
Share of group-specific trends significant at 5% level: {res}0.857 (= 12 trends)


{col 25}Group-specific coefficients
{txt}{hline 78}
{col 21}Coef.   Std. Err.      z    P>|z|[95% Conf. Interval]
{hline 13}{c TT}{hline 64}
     Group 1 {c |} 
{hline 13}{c +}{hline 64}
    lallprod {c |}{res}{col 17}-1.037846{col 28} .1164376    -8.91   0.000    -1.266059   -.8096321
  {txt}__00000R_c {c |}{res}{col 17} 5.159323{col 28} .4534368    11.38   0.000     4.270603    6.048043
  {txt}__000007_t {c |}{res}{col 17} .0290225{col 28} .0061721     4.70   0.000     .0169254    .0411196
       {txt}_cons {c |}{res}{col 17} -8.77557{col 28}  .631743   -13.89   0.000    -10.01376   -7.537376
{txt}{hline 13}{c +}{hline 64}
     Group 2 {c |} 
{hline 13}{c +}{hline 64}
    lallprod {c |}{res}{col 17}-1.424769{col 28} .2292896    -6.21   0.000    -1.874168   -.9753692
  {txt}__00000R_c {c |}{res}{col 17}   7.7457{col 28} .8929104     8.67   0.000     5.995627    9.495772
  {txt}__000007_t {c |}{res}{col 17} .0541245{col 28} .0121541     4.45   0.000     .0303028    .0779461
       {txt}_cons {c |}{res}{col 17}-11.91139{col 28} 1.244032    -9.57   0.000    -14.34965   -9.473134
{txt}{hline 13}{c +}{hline 64}
     Group 3 {c |} 
{hline 13}{c +}{hline 64}
    lallprod {c |}{res}{col 17} .2496932{col 28} .1037981     2.41   0.016     .0462526    .4531338
  {txt}__00000R_c {c |}{res}{col 17}-1.997221{col 28} .4042156    -4.94   0.000    -2.789469   -1.204973
  {txt}__000007_t {c |}{res}{col 17}-.0129939{col 28} .0055021    -2.36   0.018    -.0237779     -.00221
       {txt}_cons {c |}{res}{col 17}-1.709212{col 28} .5631664    -3.04   0.002    -2.812997   -.6054257
{txt}{hline 13}{c +}{hline 64}
     Group 4 {c |} 
{hline 13}{c +}{hline 64}
    lallprod {c |}{res}{col 17} .7103933{col 28}  .125831     5.65   0.000     .4637691    .9570175
  {txt}__00000R_c {c |}{res}{col 17}-1.176812{col 28} .4900169    -2.40   0.016    -2.137228   -.2163969
  {txt}__000007_t {c |}{res}{col 17}-.0577825{col 28}   .00667    -8.66   0.000    -.0708555   -.0447095
       {txt}_cons {c |}{res}{col 17} 2.822729{col 28} .6827077     4.13   0.000     1.484647    4.160812
{txt}{hline 13}{c +}{hline 64}
     Group 5 {c |} 
{hline 13}{c +}{hline 64}
    lallprod {c |}{res}{col 17}-.8817503{col 28} .1700875    -5.18   0.000    -1.215116    -.548385
  {txt}__00000R_c {c |}{res}{col 17} 1.683756{col 28} .6623626     2.54   0.011     .3855491    2.981963
  {txt}__000007_t {c |}{res}{col 17} .0396246{col 28}  .009016     4.39   0.000     .0219537    .0572956
       {txt}_cons {c |}{res}{col 17}-7.887105{col 28} .9228254    -8.55   0.000    -9.695809     -6.0784
{txt}{hline 13}{c +}{hline 64}
     Group 6 {c |} 
{hline 13}{c +}{hline 64}
    lallprod {c |}{res}{col 17}-.2829484{col 28} .3059428    -0.92   0.355    -.8825852    .3166885
  {txt}__00000R_c {c |}{res}{col 17}-2.931326{col 28} 1.191417    -2.46   0.014     -5.26646   -.5961926
  {txt}__000007_t {c |}{res}{col 17} .0220606{col 28} .0162173     1.36   0.174    -.0097248     .053846
       {txt}_cons {c |}{res}{col 17}-5.939656{col 28} 1.659921    -3.58   0.000    -9.193041    -2.68627
{txt}{hline 13}{c +}{hline 64}
     Group 7 {c |} 
{hline 13}{c +}{hline 64}
    lallprod {c |}{res}{col 17} .5940766{col 28} .1784735     3.33   0.001     .2442749    .9438782
  {txt}__00000R_c {c |}{res}{col 17} 2.124972{col 28} .6950199     3.06   0.002     .7627581    3.487186
  {txt}__000007_t {c |}{res}{col 17}-.0475986{col 28} .0094605    -5.03   0.000    -.0661408   -.0290564
       {txt}_cons {c |}{res}{col 17}-1.200801{col 28} .9683245    -1.24   0.215    -3.098683    .6970798
{txt}{hline 13}{c +}{hline 64}
     Group 8 {c |} 
{hline 13}{c +}{hline 64}
    lallprod {c |}{res}{col 17} .3589787{col 28} .0791637     4.53   0.000     .2038206    .5141368
  {txt}__00000R_c {c |}{res}{col 17} .8867812{col 28} .3082831     2.88   0.004     .2825574    1.491005
  {txt}__000007_t {c |}{res}{col 17}-.0224853{col 28} .0041963    -5.36   0.000    -.0307098   -.0142607
       {txt}_cons {c |}{res}{col 17}-.9731637{col 28} .4295102    -2.27   0.023    -1.814988   -.1313392
{txt}{hline 13}{c +}{hline 64}
     Group 9 {c |} 
{hline 13}{c +}{hline 64}
    lallprod {c |}{res}{col 17} .8227193{col 28} .1664315     4.94   0.000     .4965196    1.148919
  {txt}__00000R_c {c |}{res}{col 17} 1.090472{col 28} .6481252     1.68   0.092      -.17983    2.360774
  {txt}__000007_t {c |}{res}{col 17}-.0459704{col 28} .0088222    -5.21   0.000    -.0632616   -.0286793
       {txt}_cons {c |}{res}{col 17}  2.51452{col 28} .9029894     2.78   0.005      .744693    4.284346
{txt}{hline 13}{c +}{hline 64}
    Group 10 {c |} 
{hline 13}{c +}{hline 64}
    lallprod {c |}{res}{col 17} .6874325{col 28} .0704993     9.75   0.000     .5492565    .8256086
  {txt}__00000R_c {c |}{res}{col 17} -.739065{col 28} .2745416    -2.69   0.007    -1.277157   -.2009733
  {txt}__000007_t {c |}{res}{col 17}-.0285918{col 28}  .003737    -7.65   0.000    -.0359162   -.0212674
       {txt}_cons {c |}{res}{col 17} .4537882{col 28} .3825004     1.19   0.235    -.2958988    1.203475
{txt}{hline 13}{c +}{hline 64}
    Group 11 {c |} 
{hline 13}{c +}{hline 64}
    lallprod {c |}{res}{col 17}-1.337073{col 28}  .363822    -3.68   0.000    -2.050151   -.6239953
  {txt}__00000R_c {c |}{res}{col 17} 4.115474{col 28} 1.416813     2.90   0.004     1.338572    6.892375
  {txt}__000007_t {c |}{res}{col 17} .0727773{col 28} .0192854     3.77   0.000     .0349786    .1105759
       {txt}_cons {c |}{res}{col 17}-13.04608{col 28}  1.97395    -6.61   0.000    -16.91495   -9.177212
{txt}{hline 13}{c +}{hline 64}
    Group 12 {c |} 
{hline 13}{c +}{hline 64}
    lallprod {c |}{res}{col 17} .7636915{col 28} .1225148     6.23   0.000     .5235669    1.003816
  {txt}__00000R_c {c |}{res}{col 17}-.1574525{col 28} .4771028    -0.33   0.741    -1.092557    .7776518
  {txt}__000007_t {c |}{res}{col 17} -.011598{col 28} .0064942    -1.79   0.074    -.0243265    .0011304
       {txt}_cons {c |}{res}{col 17} .1016475{col 28} .6647153     0.15   0.878     -1.20117    1.404466
{txt}{hline 13}{c +}{hline 64}
    Group 13 {c |} 
{hline 13}{c +}{hline 64}
    lallprod {c |}{res}{col 17}-.1242808{col 28} .0896453    -1.39   0.166    -.2999823    .0514207
  {txt}__00000R_c {c |}{res}{col 17}-.7081835{col 28} .3491008    -2.03   0.042    -1.392408   -.0239585
  {txt}__000007_t {c |}{res}{col 17} .0231022{col 28} .0047519     4.86   0.000     .0137886    .0324157
       {txt}_cons {c |}{res}{col 17}-5.496805{col 28} .4863787   -11.30   0.000     -6.45009    -4.54352
{txt}{hline 13}{c +}{hline 64}
    Group 14 {c |} 
{hline 13}{c +}{hline 64}
    lallprod {c |}{res}{col 17} .2315604{col 28} .1208565     1.92   0.055    -.0053141    .4684349
  {txt}__00000R_c {c |}{res}{col 17}-1.096416{col 28} .4706452    -2.33   0.020    -2.018864   -.1739687
  {txt}__000007_t {c |}{res}{col 17} -.013691{col 28} .0064063    -2.14   0.033    -.0262472   -.0011348
       {txt}_cons {c |}{res}{col 17}-.3658771{col 28} .6557183    -0.56   0.577    -1.651061    .9193071
{txt}{hline 13}{c BT}{hline 64}

{com}. matrix list e(betas)
{res}
{txt}e(betas)[14,4]
       lallprod  __00000R_c  __000007_t       _cons
 r1 {res} -1.0378457   5.1593228   .02902248  -8.7755697
{txt} r2 {res} -1.4247686   7.7456995   .05412447  -11.911393
{txt} r3 {res}  .24969319  -1.9972211  -.01299395  -1.7092115
{txt} r4 {res}  .71039328  -1.1768124  -.05778253   2.8227295
{txt} r5 {res} -.88175031   1.6837559   .03962461  -7.8871048
{txt} r6 {res} -.28294838  -2.9313264   .02206062  -5.9396555
{txt} r7 {res}  .59407656   2.1249719   -.0475986  -1.2008013
{txt} r8 {res}  .35897869   .88678121  -.02248526  -.97316367
{txt} r9 {res}  .82271935   1.0904721  -.04597045   2.5145196
{txt}r10 {res}  .68743254    -.739065  -.02859177   .45378822
{txt}r11 {res} -1.3370734   4.1154736   .07277725  -13.046082
{txt}r12 {res}  .76369148  -.15745249  -.01159804   .10164754
{txt}r13 {res} -.12428085   -.7081835   .02310216  -5.4968051
{txt}r14 {res}  .23156041  -1.0964163  -.01369099  -.36587715
{reset}
{com}. 
. 
. //Price Model //
. xtmg pip allprod, aug trend full res(pet3)


{txt}Augmented Mean Group estimator (Bond & Eberhardt, 2009; Eberhardt & Teal, 2010)

Common dynamic process {res}included{txt} as additional regressor
All coefficients present represent averages across groups ({res}cid{txt})
Coefficient averages computed as {res}unweighted{txt} means

Mean Group type estimation{col 49}Number of obs{col 67}={col 69}{res}       966
{txt}Group variable: {res}cid{col 49}{txt}Number of groups{col 67}={col 69}{res}        14

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        69
{txt}{col 63}avg{col 67}={col 69}{res}      69.0
{txt}{col 63}max{col 67}={col 69}{res}        69

{txt}{col 49}Wald chi2({res}1{txt}){col 67}={col 70}{res}     0.00
{txt}{col 49}Prob > chi2{col 67}={res}{col 73}1.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         pip{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}allprod {c |}{col 14}{res}{space 2}-1.44e-08{col 26}{space 2} 2.639801{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-5.173914{col 67}{space 3} 5.173914
{txt}{space 2}__00000R_c {c |}{col 14}{res}{space 2}        1{col 26}{space 2} .7495606{col 37}{space 1}    1.33{col 46}{space 3}0.182{col 54}{space 4}-.4691118{col 67}{space 3} 2.469112
{txt}{space 2}__000007_t {c |}{col 14}{res}{space 2}-2.20e-10{col 26}{space 2} .0076855{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0150633{col 67}{space 3} .0150633
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.504279{col 26}{space 2} .4022069{col 37}{space 1}    3.74{col 46}{space 3}0.000{col 54}{space 4} .7159679{col 67}{space 3}  2.29259
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Root Mean Squared Error (sigma): {res}0.1204
{txt}Variable {res}__00000R_c{txt} refers to the common dynamic process.
Residual series based on country regressions stored in variable: {res}pet3
{txt}Variable {res}__000007_t{txt} refers to a group-specific linear trend.
Share of group-specific trends significant at 5% level: {res}0.929 (= 13 trends)


{col 25}Group-specific coefficients
{txt}{hline 78}
{col 21}Coef.   Std. Err.      z    P>|z|[95% Conf. Interval]
{hline 13}{c TT}{hline 64}
     Group 1 {c |} 
{hline 13}{c +}{hline 64}
     allprod {c |}{res}{col 17}-26.70864{col 28} 2.941675    -9.08   0.000    -32.47422   -20.94307
  {txt}__00000R_c {c |}{res}{col 17} 10.19557{col 28} .5387333    18.93   0.000     9.139673    11.25147
  {txt}__000007_t {c |}{res}{col 17} .0557978{col 28} .0082153     6.79   0.000     .0396961    .0718996
       {txt}_cons {c |}{res}{col 17} 5.736433{col 28} .0809279    70.88   0.000     5.577818    5.895049
{txt}{hline 13}{c +}{hline 64}
     Group 2 {c |} 
{hline 13}{c +}{hline 64}
     allprod {c |}{res}{col 17}-9.193979{col 28} 4.106222    -2.24   0.025    -17.24203   -1.145932
  {txt}__00000R_c {c |}{res}{col 17} 2.956267{col 28} .7520065     3.93   0.000     1.482362    4.430173
  {txt}__000007_t {c |}{res}{col 17}  .049411{col 28} .0114676     4.31   0.000     .0269349    .0718871
       {txt}_cons {c |}{res}{col 17} .4679516{col 28} .1129656     4.14   0.000     .2465431      .68936
{txt}{hline 13}{c +}{hline 64}
     Group 3 {c |} 
{hline 13}{c +}{hline 64}
     allprod {c |}{res}{col 17} 3.595277{col 28} .5458835     6.59   0.000     2.525365    4.665189
  {txt}__00000R_c {c |}{res}{col 17} .5825991{col 28} .0999722     5.83   0.000     .3866572    .7785409
  {txt}__000007_t {c |}{res}{col 17}  .007131{col 28} .0015245     4.68   0.000      .004143     .010119
       {txt}_cons {c |}{res}{col 17} .3933975{col 28} .0150177    26.20   0.000     .3639634    .4228317
{txt}{hline 13}{c +}{hline 64}
     Group 4 {c |} 
{hline 13}{c +}{hline 64}
     allprod {c |}{res}{col 17}-3.320126{col 28}  1.26085    -2.63   0.008    -5.791347    -.848905
  {txt}__00000R_c {c |}{res}{col 17}-.6452291{col 28} .2309099    -2.79   0.005    -1.097804   -.1926539
  {txt}__000007_t {c |}{res}{col 17}-.0165189{col 28} .0035212    -4.69   0.000    -.0234204   -.0096174
       {txt}_cons {c |}{res}{col 17} 2.073271{col 28}  .034687    59.77   0.000     2.005286    2.141256
{txt}{hline 13}{c +}{hline 64}
     Group 5 {c |} 
{hline 13}{c +}{hline 64}
     allprod {c |}{res}{col 17}  4.69493{col 28} .8690708     5.40   0.000     2.991583    6.398278
  {txt}__00000R_c {c |}{res}{col 17} .8619469{col 28} .1591601     5.42   0.000     .5499987    1.173895
  {txt}__000007_t {c |}{res}{col 17}-.0127552{col 28} .0024271    -5.26   0.000    -.0175122   -.0079982
       {txt}_cons {c |}{res}{col 17} 1.723608{col 28} .0239089    72.09   0.000     1.676747    1.770468
{txt}{hline 13}{c +}{hline 64}
     Group 6 {c |} 
{hline 13}{c +}{hline 64}
     allprod {c |}{res}{col 17} 10.39304{col 28} 1.733833     5.99   0.000     6.994791    13.79129
  {txt}__00000R_c {c |}{res}{col 17}-.2974249{col 28} .3175312    -0.94   0.349    -.9197746    .3249247
  {txt}__000007_t {c |}{res}{col 17}-.0422974{col 28} .0048421    -8.74   0.000    -.0517879    -.032807
       {txt}_cons {c |}{res}{col 17} 2.418355{col 28} .0476992    50.70   0.000     2.324867    2.511844
{txt}{hline 13}{c +}{hline 64}
     Group 7 {c |} 
{hline 13}{c +}{hline 64}
     allprod {c |}{res}{col 17} 2.060219{col 28} .9006343     2.29   0.022      .295008    3.825429
  {txt}__00000R_c {c |}{res}{col 17}-.3883014{col 28} .1649406    -2.35   0.019    -.7115791   -.0650237
  {txt}__000007_t {c |}{res}{col 17} .0031228{col 28} .0025152     1.24   0.214     -.001807    .0080526
       {txt}_cons {c |}{res}{col 17}  .326629{col 28} .0247772    13.18   0.000     .2780666    .3751914
{txt}{hline 13}{c +}{hline 64}
     Group 8 {c |} 
{hline 13}{c +}{hline 64}
     allprod {c |}{res}{col 17} 4.914574{col 28} 2.940888     1.67   0.095    -.8494612    10.67861
  {txt}__00000R_c {c |}{res}{col 17}-.1031003{col 28} .5385893    -0.19   0.848    -1.158716    .9525152
  {txt}__000007_t {c |}{res}{col 17}-.0465813{col 28} .0082131    -5.67   0.000    -.0626787   -.0304838
       {txt}_cons {c |}{res}{col 17}  3.17963{col 28} .0809063    39.30   0.000     3.021057    3.338204
{txt}{hline 13}{c +}{hline 64}
     Group 9 {c |} 
{hline 13}{c +}{hline 64}
     allprod {c |}{res}{col 17}-11.49473{col 28} .6975961   -16.48   0.000    -12.86199   -10.12746
  {txt}__00000R_c {c |}{res}{col 17} .8848283{col 28} .1277566     6.93   0.000       .63443    1.135227
  {txt}__000007_t {c |}{res}{col 17} .0206323{col 28} .0019482    10.59   0.000     .0168138    .0244507
       {txt}_cons {c |}{res}{col 17} 1.415389{col 28} .0191914    73.75   0.000     1.377775    1.453004
{txt}{hline 13}{c +}{hline 64}
    Group 10 {c |} 
{hline 13}{c +}{hline 64}
     allprod {c |}{res}{col 17} 4.735704{col 28} .4527279    10.46   0.000     3.848373    5.623034
  {txt}__00000R_c {c |}{res}{col 17}-.7020974{col 28} .0829118    -8.47   0.000    -.8646016   -.5395932
  {txt}__000007_t {c |}{res}{col 17}-.0121914{col 28} .0012644    -9.64   0.000    -.0146695   -.0097133
       {txt}_cons {c |}{res}{col 17} .9180422{col 28} .0124549    73.71   0.000      .893631    .9424534
{txt}{hline 13}{c +}{hline 64}
    Group 11 {c |} 
{hline 13}{c +}{hline 64}
     allprod {c |}{res}{col 17} 5.868513{col 28} .8551366     6.86   0.000     4.192476    7.544549
  {txt}__00000R_c {c |}{res}{col 17} .4776213{col 28} .1566083     3.05   0.002     .1706747    .7845678
  {txt}__000007_t {c |}{res}{col 17}-.0061981{col 28} .0023882    -2.60   0.009    -.0108788   -.0015173
       {txt}_cons {c |}{res}{col 17} .9421561{col 28} .0235255    40.05   0.000      .896047    .9882653
{txt}{hline 13}{c +}{hline 64}
    Group 12 {c |} 
{hline 13}{c +}{hline 64}
     allprod {c |}{res}{col 17} 7.435555{col 28}  .937127     7.93   0.000     5.598819     9.27229
  {txt}__00000R_c {c |}{res}{col 17}-.3758947{col 28} .1716238    -2.19   0.029    -.7122712   -.0395181
  {txt}__000007_t {c |}{res}{col 17} -.005352{col 28} .0026172    -2.04   0.041    -.0104815   -.0002225
       {txt}_cons {c |}{res}{col 17} .3470557{col 28} .0257811    13.46   0.000     .2965256    .3975858
{txt}{hline 13}{c +}{hline 64}
    Group 13 {c |} 
{hline 13}{c +}{hline 64}
     allprod {c |}{res}{col 17} 6.597698{col 28} .4400865    14.99   0.000     5.735145    7.460252
  {txt}__00000R_c {c |}{res}{col 17} .3741289{col 28} .0805967     4.64   0.000     .2161623    .5320956
  {txt}__000007_t {c |}{res}{col 17}-.0035084{col 28}  .001229    -2.85   0.004    -.0059173   -.0010995
       {txt}_cons {c |}{res}{col 17} .6776149{col 28} .0121071    55.97   0.000     .6538853    .7013445
{txt}{hline 13}{c +}{hline 64}
    Group 14 {c |} 
{hline 13}{c +}{hline 64}
     allprod {c |}{res}{col 17} .4219649{col 28} .2978387     1.42   0.157    -.1617882    1.005718
  {txt}__00000R_c {c |}{res}{col 17} .1790845{col 28} .0545457     3.28   0.001      .072177    .2859921
  {txt}__000007_t {c |}{res}{col 17} .0093078{col 28} .0008318    11.19   0.000     .0076776    .0109381
       {txt}_cons {c |}{res}{col 17} .4403711{col 28} .0081938    53.74   0.000     .4243115    .4564306
{txt}{hline 13}{c BT}{hline 64}

{com}. matrix list e(betas)
{res}
{txt}e(betas)[14,4]
        allprod  __00000R_c  __000007_t       _cons
 r1 {res} -26.708643   10.195571   .05579781   5.7364335
{txt} r2 {res} -9.1939791   2.9562675   .04941097   .46795157
{txt} r3 {res}  3.5952769   .58259907   .00713099   .39339752
{txt} r4 {res} -3.3201258  -.64522908  -.01651891    2.073271
{txt} r5 {res}  4.6949305   .86194687   -.0127552   1.7236078
{txt} r6 {res}  10.393041  -.29742492  -.04229744   2.4183554
{txt} r7 {res}  2.0602187  -.38830143   .00312281   .32662902
{txt} r8 {res}   4.914574  -.10310033  -.04658125   3.1796304
{txt} r9 {res} -11.494728    .8848283   .02063226   1.4153893
{txt}r10 {res}  4.7357035  -.70209739  -.01219143   .91804222
{txt}r11 {res}  5.8685125   .47762126  -.00619806   .94215612
{txt}r12 {res}  7.4355546  -.37589466  -.00535197   .34705572
{txt}r13 {res}  6.5976985   .37412894  -.00350843   .67761491
{txt}r14 {res}  .42196487   .17908454   .00930783   .44037105
{reset}
{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}\\file\UsersW$\wrr15\Home\My Documents\My Files\ATANDA AKINWANDE\BCD PAPER\HEALTH ECONOMICS revision\NEW DATA AND PROGRAMS (20171021)\TABLE5top.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 4 Nov 2017, 09:32:56
{txt}{.-}
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{txt}{sf}{ul off}